
engine
Droidefense: Advance Android Malware Analysis Framework

Droidefense: Advance Android Malware Analysis Framework

A machine learning malware analysis framework for Android apps.

C-based Android static analysis framework for decompilation, secret detection, endpoint discovery, permission analysis, and native library scanning…

Malware detection using learning and information retrieval for Android

Official code for the ISSTA 2026 paper: Is "Knowing It’s Malicious" Enough? Evaluating LLMs for Fine-Grained Malware Behavior Auditing

Curated reading list and taxonomy of attack and defense research for mobile on-device AI systems, covering adversarial, backdoor, model stealing, and…

Image-based Android malware detection framework tackling obfuscation and concept drift. Includes curated datasets and Python code for training…

Memory-free continual learning framework for malware classification using mode connectivity-based interpolation. Supports class-incremental and…

Google Tensor Cracks